With the same pretraining setup as in fig:algadvncfail, we transfer the learned models on 4 different downstream datasets: Cifar-10, FGVS-Aiscraft, DTD and Oxford-IIIT-Pet. We note that there are many benchmark datasets that we can potentially use, we choose these 4 datasets because the number of samples for each class is balanced in these datasets, which is the same scenario where \(\mathcal {NC}\)  is first studied [1]}. Additionally, we conduct the same experiments using ImageNet-1k [2]} pre-trained ResNet [3]}, DenseNet [4]} and Mobilenet-v2 [5]} models.
